Objective Detection of Newborn Infant Acute Procedural Pain Using EEG and Machine Learning Algorithms

Objective Detection of Newborn Infant Acute Procedural Pain Using EEG and Machine Learning Algorithms

ABSTRACT Observer‐dependent infant pain scales have limitations including discontinuous assessments and the lack of healthcare professionals' availability. We hypothesized that applying agnostic machine learning approaches to neonatal electroencephalographic (EEG) analysis may reveal features o...

Full description

Saved in:
Bibliographic Details
Main Authors: Jean‐Michel Roué, Amir Avnit, Behnood Gholami, Wassim M. Haddad, Kanwaljeet J. S. Anand
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Paediatric & Neonatal Pain
Subjects:
EEG
machine learning
newborn infant
pain assessment
Online Access:https://doi.org/10.1002/pne2.70001
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/pne2.70001

Similar Items